Towards Autonomic Middleware-Level Management of QoS for IoT Applications

Banouar, Yassine; Reddad, Saad; Diop, Codé; Chassot, Christophe

doi:10.1007/978-3-319-47063-4_30

Cited by 2 publications

(10 citation statements)

References 8 publications

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“…Table 5. Data analysis tasks in the second case study Works Criteria C1 C2 C3 C4 [5,6,9] x [7,11] x x Our AMS x x x x…”

Section: Discussionmentioning

confidence: 99%

“…In general, there are some IoT AMS that use the data of the context in order to make decisions about the QoS mechanisms to deploy in a system [3,11]. Also, some works consider the idea of an autonomous self-configuration [5,6,7,11]. However, our paper is the only one where is used the AMS in different contexts, additionally, to reach QoE / QoS requirements.…”

Section: Discussionmentioning

confidence: 99%

“…It defines a holistic approach through specific resource management policies, takes into account the functional dependency between application components. P ✓ X X [6] It introduces a QoS-oriented AMS for IoT platforms and an architecture to detect QoS violations. X ✓ ✓ [7] It proposes a static management approach of an IoT platform, which includes behavioral and structural reconfiguration actions.…”

Section: S1mentioning

confidence: 99%

“…The eventual availability of redundant component replicas in alternative hardware nodes is also considered. Barnouar et al [6] introduce a QoS-oriented AMS for IoT platforms. Additionally, the authors in [6] propose a concept-oriented architecture for the monitoring component, allowing detecting QoS degradation symptoms, and demonstrate the benefits that could be gained from simple networkinspired QoS-oriented adaptation actions.…”

Section: S2mentioning

confidence: 99%

“…Barnouar et al [6] introduce a QoS-oriented AMS for IoT platforms. Additionally, the authors in [6] propose a concept-oriented architecture for the monitoring component, allowing detecting QoS degradation symptoms, and demonstrate the benefits that could be gained from simple networkinspired QoS-oriented adaptation actions. The paper [7] defines a static management approach of an IoT platform, which considers reconfiguration actions from the point of view behavioral and structural for platform-level resources and application traffic.…”

Section: S2mentioning

confidence: 99%

See 4 more Smart Citations

An Autonomic Management System for IoT Platforms based on Data Analysis Tasks

Ouedraogo¹,

Chassot²,

Medjiah³

et al. 2022

IJCNDS

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In this work, we propose an Autonomic Management System (AMS) for the Internet of Things (IoT) platforms, which uses the concept of autonomic cycle of data analysis tasks to improve and maintain the performance in the IoT platforms. The concept of "Autonomic Cycle of Data Analysis Tasks" is a type of autonomous intelligent supervision that allows reaching strategic objectives around a given problem. In this paper, we propose the conceptualization of the architecture of an AMS composed by an autonomic cycle to optimize the Quality of Services (QoS), and to improve the Quality of Experiences (QoE), in IoT platforms. The autonomous cycle detects and discoveries the current operational state in the IoT platform, and determines the set of tasks to guarantee a given performance (QoS/QoE). This paper presents the details of the architecture of the AMS (components, knowledge models, etc.), and its utilization in two case studies: in a typical application in an IoT context, and in a Tactile Internet System.

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“…Table 5. Data analysis tasks in the second case study Works Criteria C1 C2 C3 C4 [5,6,9] x [7,11] x x Our AMS x x x x…”

Section: Discussionmentioning

confidence: 99%